Ares Commercial Real Estate Corp (ACRE) Wages, Salaries and Other (2013 - 2016)
Ares Commercial Real Estate (ACRE) recorded Wages, Salaries and Other of $4.28 million in the quarter ended Mar 31, 2016, down 7.6% from $4.64 million a year earlier and down 3.9% from the prior quarter.
Ares Commercial Real Estate Corp (ACRE) Wages, Salaries and Other (2013 - 2016) Analysis & Trends
On a TTM basis, Ares Commercial Real Estate's Wages, Salaries and Other came in at $20.1 million as of Mar 31, 2016, up 4.3% year-over-year; for the year ended Dec 31, 2015, it came in at $20.45 million, up 9.6% from the prior year.
- Across earlier years, Wages, Salaries and Other came in at $18.65 million in the year ended Dec 31, 2014 (+241.8%) and $5.46 million in the year ended Dec 31, 2013.
- The figure for the quarter ended Mar 31, 2016 is the lowest quarterly Wages, Salaries and Other since the quarter ended Mar 31, 2014.
- On a year-over-year basis, Wages, Salaries and Other rose in five of the last seven quarters, with growth averaging 35.7%.
- Per Business Quant, the preceding three quarters came in at $4.46 million (quarter ended Dec 31, 2015), $5.92 million (quarter ended Sep 30, 2015) and $5.43 million (quarter ended Jun 30, 2015).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 4.28 Mn |
| Dec 31, 2015 | 4.46 Mn |
| Sep 30, 2015 | 5.92 Mn |
| Jun 30, 2015 | 5.43 Mn |
| Mar 31, 2015 | 4.64 Mn |
| Dec 31, 2014 | 5.41 Mn |
| Sep 30, 2014 | 4.70 Mn |
| Jun 30, 2014 | 4.51 Mn |
| Mar 31, 2014 | 4.02 Mn |
| Dec 31, 2013 | 3.69 Mn |
| Sep 30, 2013 | 1.77 Mn |
Ares Commercial Real Estate Corp Wages, Salaries and Other API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=wages-salaries-and-other&ticker=ACRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "ACRE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=wages-salaries-and-other&ticker=ACRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();